November 18, 2025·8 min read

Excel for Marketing: Campaign Tracking, Budgets, and Analytics

Track marketing campaigns, measure ROI, and manage budgets in Excel. Practical templates and formulas for marketing teams who need flexible reporting beyond their tools.

Excel for marketing analytics

Marketing platforms provide dashboards, but Excel lets you combine data from multiple sources, create custom analyses, and model scenarios that built-in tools can't handle.

Campaign Performance Tracking

Essential campaign metrics to track:

  • Campaign name and channel (email, paid, social)
  • Start and end dates
  • Budget (planned and actual spend)
  • Impressions, clicks, conversions
  • Revenue attributed

Key Marketing Calculations

Click-through rate: =Clicks/Impressions

Conversion rate: =Conversions/Clicks

Cost per click: =Spend/Clicks

Cost per acquisition: =Spend/Conversions

ROI: =(Revenue-Spend)/Spend

Budget Management

Track budget vs. actual by channel:

=SUMIFS(Spend, Channel, “Paid Search”, Month, “January”)

Variance: =Actual-Budget (or =(Actual-Budget)/Budget for percentage)

Conditional format variance columns — green for under budget, red for over.

Content Calendar

Build a content calendar with:

  • Publish date and time
  • Content type (blog, video, social post)
  • Channel/platform
  • Owner/author
  • Status (draft, review, scheduled, published)
  • Topic/campaign association

Use data validation dropdowns for status and channel fields.

Multi-Touch Attribution

Simple attribution models in Excel:

  • First touch: 100% credit to first touchpoint
  • Last touch: 100% credit to last touchpoint
  • Linear: Equal credit to all touchpoints
  • Time decay: More credit to recent touchpoints

For linear: =ConversionValue/COUNTIF(ConversionID, ThisConversion)

A/B Test Analysis

Calculate statistical significance with:

  • Sample sizes for both variations
  • Conversion rates for each
  • Z-score calculation for comparison

Excel doesn't have built-in A/B test functions, but you can use NORM.S.DIST to calculate p-values from your z-score.

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Related Reading

Official Resources

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